An overview of the numerical data analysis and signal treatment techniques used in chromatography and related separation techniques, with emphasis on the description of the symmetrical and asymmetrical chromatographic peak shape models. Includes sections on data acquisition, noise, peak detection, and information theory. Contains a thorough overview of the statistics of peak overlap. Both theoretical and empirical models are discussed. Of use not only in chromatography, but in studying spectroscopic and other analytical signals.
Author(s): Attila Felinger (Eds.)
Series: Data handling in science and technology 21
Edition: 1
Publisher: Elsevier
Year: 1998
Language: English
Pages: 1-414
City: Amsterdam [Netherlands]; New York
Content:
Preface
Pages xi-xii
Attila Felinger
1 Introduction
Pages 1-3
2 Mathematical background Original Research Article
Pages 5-42
3 Models of chromatography Original Research Article
Pages 43-78
4 Data acquisition Original Research Article
Pages 79-95
5 Peak shape analysis Original Research Article
Pages 97-124
6 Noise Original Research Article
Pages 125-141
7 Signal enhancement Original Research Article
Pages 143-181
8 Peak detection Original Research Article
Pages 183-190
9 Quantitative analysis Original Research Article
Pages 191-209
10 Resolution enhancement Original Research Article
Pages 211-259
11 Multivariate signal resolution Original Research Article
Pages 261-278
12 Transform techniques in chromatography Original Research Article
Pages 279-298
13 Information theory Original Research Article
Pages 299-306
14 Quality assurance and validation Original Research Article
Pages 307-330
15 Statistical theory of peak overlap Original Research Article
Pages 331-383
16 Fourier analysis of multicomponent chromatograms Original Research Article
Pages 385-409
Index
Pages 410-414
